Triple
T583577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel Indurain |
E15108
|
entity |
| Predicate | team |
P3756
|
FINISHED |
| Object |
Reynolds
Reynolds was a prominent Spanish professional cycling team, best known as the early-career squad of multiple Tour de France winner Miguel Indurain and later evolving into the Banesto team.
|
E72904
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Reynolds | Statement: [Miguel Indurain, team, Reynolds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reynolds Context triple: [Miguel Indurain, team, Reynolds]
-
A.
Richardson
Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
-
B.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
-
C.
Elliott
Elliott is a masculine given name of English origin, often used as both a first name and a surname.
-
D.
Turner
Turner is a common English surname borne by numerous notable individuals across politics, arts, sports, and entertainment.
-
E.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Reynolds Triple: [Miguel Indurain, team, Reynolds]
Generated description
Reynolds was a prominent Spanish professional cycling team, best known as the early-career squad of multiple Tour de France winner Miguel Indurain and later evolving into the Banesto team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reynolds Target entity description: Reynolds was a prominent Spanish professional cycling team, best known as the early-career squad of multiple Tour de France winner Miguel Indurain and later evolving into the Banesto team.
-
A.
Richardson
Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
-
B.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
-
C.
Elliott
Elliott is a masculine given name of English origin, often used as both a first name and a surname.
-
D.
Turner
Turner is a common English surname borne by numerous notable individuals across politics, arts, sports, and entertainment.
-
E.
Lewis
"Lewis" is a notable film or television work featuring British actor Edward Fox, recognized as part of his distinguished acting career.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b8745c88190af9672e5fe8396c3 |
completed | March 1, 2026, 8:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a508a1cc788190a0906bfd876e510e |
completed | March 2, 2026, 3:48 a.m. |
| NEDg | Description generation | batch_69a50acbc7948190839d73bf48af0a67 |
completed | March 2, 2026, 3:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a50b5abad08190b5abab497c61952b |
completed | March 2, 2026, 4 a.m. |
Created at: March 1, 2026, 7:33 p.m.